Structure-based discovery of β2-adrenergic receptor ligands

被引:238
作者
Kolb, Peter [2 ]
Rosenbaum, Daniel M. [1 ]
Irwin, John J. [2 ]
Fung, Juan Jose [1 ]
Kobilka, Brian K. [1 ]
Shoichet, Brian K. [2 ]
机构
[1] Stanford Univ, Sch Med, Dept Mol & Cellular Physiol, Stanford, CA 94305 USA
[2] Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94158 USA
基金
美国国家卫生研究院; 瑞士国家科学基金会;
关键词
docking; GPCR; inverse agonists; library bias; ligand design; AUTOMATED DOCKING; GENETIC ALGORITHM; DRUG DISCOVERY; INSIGHTS;
D O I
10.1073/pnas.0812657106
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Aminergic G protein-coupled receptors (GPCRs) have been a major focus of pharmaceutical research for many years. Due partly to the lack of reliable receptor structures, drug discovery efforts have been largely ligand-based. The recently determined X-ray structure of the beta(2)-adrenergic receptor offers an opportunity to investigate the advantages and limitations inherent in a structure-based approach to ligand discovery against this and related GPCR targets. Approximately 1 million commercially available, "lead-like" molecules were docked against the beta(2)-adrenergic receptor structure. On testing of 25 high-ranking molecules, 6 were active with binding affinities <4 mu M, with the best molecule binding with a K-i of 9 nM(95% confidence interval 7-10 nM). Five of these molecules were inverse agonists. The high hit rate, the high affinity of the most potent molecule, the discovery of unprecedented chemotypes among the new inhibitors, and the apparent bias toward inverse agonists among the docking hits, have implications for structure-based approaches against GPCRs that recognize small organic molecules.
引用
收藏
页码:6843 / 6848
页数:6
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